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Impacts of hypothetical scenarios of delayed response of vector control to Dengue virus outbreaks.

By Gonzalo M. Vazquez-Prokopec (144131), Luis F. Chaves (209055), Scott A. Ritchie (226920), Joe Davis (360388) and Uriel Kitron (119769)

Abstract

<p>The basic reproduction number, <i>R<sub>0</sub></i> (the average number of secondary cases after the introduction of an infection) for the 2003 and 2009 dengue fever outbreaks that affected the city of Cairns, Australia, was estimated by fitting an exponential function to the observed weekly epidemic curves before vector control interventions began (6 weeks in 2003 and 4 weeks in 2009). The effective reproduction number, <i>R<sub>t</sub></i> (the average number of secondary cases per primary case at time <i>t</i>) of each outbreak was estimated by accumulating the number of cases in biweekly periods (the average generation time of dengue is ∼14 days) and computing the ratio between consecutive two-week periods. The hypothetical epidemic curves for the 2003 (<b>A</b>) and 2009 (<b>B</b>) outbreaks under different scenarios for response times (<i>res</i>) of vector control activities to a dengue introduction (<i>res</i> = 2, 4, 6 and 8 weeks) were computed by estimating the number of cases in the absence of control (between <i>t<sub>0</sub></i> and <i>res</i>) using <i>R<sub>0</sub></i>, and then generating the rest of each epidemic time series by multiplying the number of cases by the estimated post intervention <i>R<sub>t</sub></i> in the original series. Blue lines indicate a faster response time than in the actual outbreak, red lines indicate scenarios where the response is delayed in comparison to the actual outbreak, and green lines indicate the actual outbreak. Values on top of the green lines are estimates for <i>R<sub>t</sub></i>. Cumulative cost (in 2009 US$) of each <i>res</i> scenario were estimated for the 2003 (<b>C</b>) and 2009 (<b>D</b>) outbreaks. Figure legends refer to each <i>res</i> scenario (A,B) and to the final epidemic size of each scenario (C,D).</p

Topics: Medicine, Information and Computing Sciences, hypothetical, scenarios, delayed, vector, dengue
Year: 2013
DOI identifier: 10.1371/journal.pntd.0000858.g001
OAI identifier: oai:figshare.com:article/492290
Provided by: FigShare
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